Deepsense
Frictionless, AI-Driven, Facial Authentication Technology

The arrival of deepfakes and other synthetic AI-generated media has triggered widespread concern about their use in spreading disinformation and facilitating financial harm. With financial institutions ready to on-board new customers using video-KYC for identification, companies may face unprecedented challenges emerging from these technologies that enable convincing impersonations. Some firms in the financial industry believe that these threats can be overcome with existing authentication technology. Yet, the broader consensus is that deepfakes are a top-tier technological challenge that only newer, more robust solutions can tackle. It is in this context of digital security that Yassine Mountacif founded Deepsense, a French deep-tech startup specialized in facial biometric technology. Deepsense has developed a solution that authenticates and validates that a user truly is who they claim to be while also detecting fraud attempts, all within a second.

The organization’s next-generation AI tool uses advanced passive liveness detection to verify the identity and the authenticity of the user. While regular face recognition for authentication can accurately answer the question ‘Is this the right person?’ it does not answer the question, ‘Is this a real person?’ This information gap is precisely the issue that Deepsense’s passive liveness detection technology addresses. “Our product not only ensures security but is also easy to integrate into existing software architecture and workflows,” says Yassine Founder and CEO of Deepsense.

A lot of today’s facial liveness technologies are active, which means that users need to blink, turn their heads, or move their phone back and forth for the software to register their facial biometric. Unlike other solutions in the market, Deepsense only requires consumers to to take a video selfie to capture their likeness and check it for legitimacy. While such progressive technology is a defining advantage, Deepsense delivers it through a simple, consumer-friendly solution. “The main challenge that we help clients in the finance and identity sectors overcome is striking a balance between edge technology and userfriendliness,” states Yassine. The team at Deepsense understands that frictionless interfaces are as crucial to end-users as their digital security. With their experience engaging with Neo banks and online banking, consumers expect the same ease-of-use from other similar platforms as well. The startup relies on its patented technology for liveness detection to deliver a unique user experience that guarantees the highest levels of safety. It also ensures a quick authentication process that serves to lessen consumer abandon rates and improve the overall user experience.

Deepsense’s cutting-edge technology applies AI to video streams and guarantees a robust user verification process. Furthermore, the liveness detection solution can also be used on mobile devices, computers, laptops, and the like. This flexibility, combined with the liveness detection occurring at a background level, creates a seamless experience for the user while preventing fraudsters from circumventing the system. The biometric tool is developer-friendly too and can be easily integrated with any existing face recognition software to prevent spoofing attacks. “The highlight of our solution’s capability is that it can capture a selfie, process it, and deliver the result instantaneously,” adds Yassine.

As a solution that adapts to markets worldwide, the software is most useful for organizations in the banking, telecommunications, and insurance industries. Access controllers at airports and borders and organizations in the gig economy will find the AI-driven tool especially crucial in thwarting malefactors. Deepsense aims to revolutionize the market for facial recognition software and has multiple biometric projects ready to launch in the next year. The company will also move further into skyrocketing the capabilities of its AI solutions and expand its presence in the US markets.